Voltage Constrained Reactive Power Planning by Ameliorated HHO Technique

Shekarappa, G. Swetha; Mahapatra, Sheila; Raj, Saurav

doi:10.1007/978-981-15-7994-3_40

Cited by 9 publications

(4 citation statements)

References 20 publications

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“…In 2021, Mahapatra et al 33 have suggested a CS and ALO for identifying the best TCSC location and the best size. Here, they chose the quadratic fuel cost as the objective and is limited by the equality and inequality constraints.…”

Section: Literature Reviewmentioning

confidence: 99%

Enhancement of available transfer capability usingTCSCwith hybridized model: Combining lion and moth flame algorithms

Singh

Yadav

Gupta

2022

Concurrency and Computation

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The practical computations of enhancing available transfer capability (ATC) are evolving in the recent times. Most of the presently available techniques for enhancing ATC are being implemented; however, in many cases, they do not consider the impact of communications taking place in between the "power transfers, loop flows, non-linearities, operating policies, and most importantly voltage collapse blackouts," respectively. Thus, the current research work aims to introduce a new hybrid method to solve the chaos in ATC in power system. The thyristor-controlled series compensation (TCSC) that belongs to series flexible alternating current transmission system device is utilized for enhancing ATC. The introduced algorithm is termed as Lion Updated Moth

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Section: Literature Reviewmentioning

confidence: 99%

Enhancement of available transfer capability usingTCSCwith hybridized model: Combining lion and moth flame algorithms

Singh

Yadav

Gupta

2022

Concurrency and Computation

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“…Article [27] proposes a planning strategy based on soft computing techniques to determine the system energy loss and economic benefit for the standard test system. The proposed work in [28] considered variants of PSO to improve the reduction in the total cost of energy loss and real power loss for standard New England 39 bus system. Weak bus detection methods are discussed in [29] and constrained VAr planning using penalty successive conic programming in [30].…”

Section: Introductionmentioning

confidence: 99%

Application of Sine–Cosine Optimization Algorithm for Minimization of Transmission Loss

Babu¹,

Kumar

Shiva³

et al. 2022

Technol Econ Smart Grids Sustain Energy

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On recent trends, the reactive power planning problem has received a considerable amount of attention for the allocation of reactive power resources, both static and dynamic such as switchable capacitors and/or reactors, as well as Var compensators, respectively. The reactive power has a significant impact on voltage profile, stability and transmission loss in power systems. In recent years, voltage instability is recognized as a major threat to system operation due to a shortage of reactive power in an interconnected transmission line. These voltage conditions could be analyzed and improved by proper coordination of reactive sources/sink. In this article, the minimization of transmission loss and operating cost is performed by using the sine cosine algorithm (SCA) and quasi-oppositional based sine cosine algorithm (QOSCA) technique for standard IEEE 14 and IEEE 30 and IEEE 57 bus test system of the connected power network. The proposed QOSCA reduces the transmission losses by 6.38% in IEEE 14, 4.56% in IEEE 30 and 12.77% in IEEE 57 bus system. The results obtained by QOSCA and SCA are compared with other popular techniques recently reported in recent state-of-literature. It is observed that QOSCA yields better results in terms of reducing transmission loss, operating costs, and improving the voltage profile of each bus.

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“…Different weak bus detection methods were discussed for the placement of power measurement units [46] and Var sources [47,48]. Harris hawk optimization was employed [49] to solve the voltage-constrained RPP problem.…”

Section: Introductionmentioning

confidence: 99%

Optimal reactive power planning using oppositional grey wolf optimization by considering bus vulnerability analysis

Babu¹,

Raj

Dey

et al. 2021

Energy Conversion and Econom

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Power system instability primarily results from the deviation of the frequency from its predefined rated value. This deviation causes voltage collapse, which further leads to sudden blackouts of the power system network. It is often triggered by a lack of reactive capacity. The solution to the reactive capacity problem can be obtained in two stages. In the first stage, the vulnerable buses, also known as ‘weak buses’, where voltage failure might occur are identified, and the Var compensating devices are mounted at those locations. The proposed approach utilizes three simple vulnerable bus detection methods: the fast voltage stability index, line stability index, and voltage collapse proximity index (VCPI). In the second stage, various optimization algorithms are implemented to determine the optimal setting of Var sources, such as particle swarm optimization, differential evolution, the whale optimization algorithm, the grasshopper optimization algorithm, the salp swarm algorithm, grey wolf optimization, and oppositional grey wolf optimization (OGWO). The results indicate that the best approach to poor bus recognition is the VCPI, and the OGWO technique provides a much less expensive system than other optimization strategies used for problems of optimal reactive power planning.

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Voltage Constrained Reactive Power Planning by Ameliorated HHO Technique

Cited by 9 publications

References 20 publications

Enhancement of available transfer capability usingTCSCwith hybridized model: Combining lion and moth flame algorithms

Enhancement of available transfer capability usingTCSCwith hybridized model: Combining lion and moth flame algorithms

Application of Sine–Cosine Optimization Algorithm for Minimization of Transmission Loss

Optimal reactive power planning using oppositional grey wolf optimization by considering bus vulnerability analysis

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